Java application insights
Java Application Insights is a feature of Microsoft Azure that provides developers with a powerful set of tools for monitoring, diagnosing, and analyzing the performance of Java applications in real time. By integrating Application Insights SDK into their Java applications, developers can collect telemetry data such as application exceptions, request rates, response times, and dependency tracking. This helps identify bottlenecks and issues, allowing for proactive performance optimization and reliability improvements. Additionally, Application Insights leverages Azure's cloud infrastructure to enable seamless scaling and integrates with Azure DevOps for continuous delivery workflows, making it easier to maintain high-quality applications. Overall, Java Application Insights serves as a comprehensive monitoring solution for enhancing application performance and user experience.
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1 - Introduction to Application Insights: Understand what Application Insights is — a feature of Azure Monitor that provides powerful analytics tools to monitor your applications in real time.
2) Use Case Scenarios: Learn about various use cases where Application Insights can be used, such as web applications, API services, and server side applications.
3) Integration with Java Applications: Discover how to integrate Application Insights with Java applications using the Application Insights SDK.
4) Telemetry Data Collection: Gain insights into different types of telemetry data that can be collected, such as request rates, response times, failure rates, and custom event tracking.
5) Performance Monitoring: Delve into how Application Insights monitors the performance of Java applications, including metrics on request duration and dependency tracking.
6) Exception Tracking: Learn how to capture exceptions and errors in your application to identify issues quickly and improve reliability.
7) Custom Metrics: Explore how to implement and log custom metrics relevant to your application to gain deeper insights into its performance.
8) Correlation of Telemetry: Understand how to correlate telemetry data to trace requests as they travel through your application and its dependencies.
9) Dashboard Creation: Discover how to create and customize dashboards in Azure to visualize your application’s performance metrics effectively.
10) Alerts and Notifications: Learn how to set up alerts based on specific metrics or thresholds so that you can respond to issues proactively.
11) User Behavior Analytics: Explore how Application Insights allows tracking of user behavior to understand user engagement and application usability.
12) Integration with DevOps: Understand how Application Insights integrates with DevOps processes for continuous monitoring and evaluation during the development cycle.
13) Cloud and On Premise Compatibility: Discuss the compatibility of Application Insights with both cloud based and on premise applications.
14) Data Retention and Storage: Gain awareness of how Application Insights retains and stores telemetry data, including considerations for pricing and data retention policies.
15) Best Practices for Usage: Learn about best practices to optimize the use of Application Insights in Java applications, including efficient instrumentation and data management strategies.
This training program will provide participants with hands on experience and practical knowledge about implementing and leveraging Java Application Insights to monitor and improve application performance.
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